Alexandros Beskos

Dr. Alexandros Beskos is a Reader in the Department of Statistical Science at University College London (UCL). He holds a PhD in Statistics from Lancaster University (2006) and a B.Sc. in Statistics from Athens University of Economics and Business (2000). His research focuses on computational statistics, Bayesian methods, Monte Carlo algorithms, and stochastic differential equations. Beskos has led significant grants, including the Leverhulme Trust Prize (2015-2018) and EPSRC grants, and has supervised multiple PhD students and postdoctoral researchers.

His academic career includes roles such as Senior Lecturer at UCL (2013-2015) and Lecturer at UCL (2008-2012). He has collaborated with institutions worldwide, including Imperial College London, National University of Singapore, and Harvard University. His work addresses high-dimensional inverse problems, sequential Monte Carlo methods, and applications in biostatistics and econometrics.

Beskos has published extensively in top journals like Annals of Applied Probability and Journal of Computational Biology. He is a Fellow of the Royal Statistical Society and actively contributes to academic service, including editorial roles and conference organization. His teaching spans statistical methods, probability, and stochastic processes at both undergraduate and graduate levels.